Time-Series-DataAnalysis-Tool 0.1.9.3

provides modules to read and perform analysis of a time series data

This package provides some subpackages containing classes and functions to analyze time series data.

"time_series_analysis" package contains four main classes

1. data_reader.py: Contains DataReader class that reads in a time series data from a flat file Data should be in multiple rows per time step data could contain 1 or more columns that evolves in time

2. data_analysis.py: Contains DataAnalysis class that inherits reader from DataReader Contains functions to compute mean, standard deviation, Contains function to plot time tracy along any dimension

3. convergence_analysis.py: Contains function to test convergence using samples along time to test if mean vary Can test convergence along one or all dimensions

4. auto_correlation.py: Contains AutoCorrelation class that inherits DataReader Computes autocorrelation along one or several dimension and reports correlation along time

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"test" package Contains unit test of the above classes

For example these tests could be run as follows: python -m unittest test.test_data_reader.py

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"example" package: contains worked out examples

"example.py" demonstrates how to perform autocorrelation using this tool on a n*m time series data where, "n" are samples observed in time and "m" is the dimension of the data the code handles 1 to "n" higher dimensional data

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To install the package:

pip install Time-Series-DataAnalysis-Tool==0.1.9.3